Estimation bias in choice models with last choice feedback

The study compares two estimation methods for choice models with last choice feedback, using simulated and real data. The first method ignores the impact of unobserved heterogeneity on observed choices via presample choices, while the second method approximates this impact by a stochastic relationship. In panels with less than 10 choices per panelist, the first method overstates the impact of last choice on current choice and understates the impact of intrinsic preferences (i.e., brand intercepts). The second method performs significantly better than the first method. Under both methods, an increase in the number of heterogeneous coefficients in the model tends to increase the bias in the estimates. The largest bias occurs when lagged choice coefficients are heterogeneous.     

An empirical analysis of the factors raising the interest in new shopping destinations

The relationship among the factors in the rising interest in new alternatives is empirically investigated in the context of shopping destination choice behavior. The hypothetical causal relationship is that the rising interest in new alternatives requires both active information search and considerable benefit, which is supported by the results of the mixture structural equation models using a data set containing revealed shopping behaviors and attitudes toward shopping destinations in the Tokyo metropolitan area: a lower level of satisfaction with the current choice set incites external information search for all subjects; however, the benefit of adding new alternatives affects the interest in new alternatives only in the group that engages in active information search.     

刍议企业精准营销工具的选择

随着精准营销在我国的发展，种类繁多的精准营销工具不断出现。企业在精确的市场细分和市场定位的前提下，如何选择适合企业实际情况的营销工具，是企业实施精准营销活动的重要环节。     

Biased valuations, damage assessments, and policy choices: The choice of measure matters

Damages from, for example, an oil spill can be measured by how much people are willing to pay to avoid them, or by the minimum compensation they demand to accept them; and decisions to clean up can be justified by the willingness to pay to do it or by the compensation necessary to forgo it. Contrary to the usual official and unofficial conventions that the choice of measure is of no matter, the empirical evidence and intuitions of most people strongly suggest otherwise. The appropriate choice of measure appears to turn, not on legal entitlements, but on the reference state people use to judge negative and positive changes — a criteria that is likely to call into question most estimates of the damages of increased health risks and the value of environmental mitigation efforts.     

跨国公司子公司信息化战略选择研究——以上海贝尔阿尔卡特公司为例

本文首先研究了跨国公司子公司信息化战略的理论,接着分析了影响跨国公司子公司信息化战略选择的主要因素,包括跨国公司子公司所在的东道国环境和跨国公司及其子公司组织内部特征,最后详细探讨了阿尔卡特在华子公司上海贝尔阿尔卡特公司如何根据内外部环境选择信息化战略的案例。     

构建征地补偿的正当程序规制

征地公正补偿问题已成为土地征收中的热点和难点。公共选择的经济学实证方法论提供了分析征地补偿不公制度性因素的崭新视角。对征地补偿进行正当程序规制是次优的法治模式选择。     

伦理视角下浅析《苏菲的选择》中苏菲的悲剧命运

文学伦理批评理论认为“文学是特定历史阶段伦理观念和道德生活的独特表现形式,文学在本质上是伦理的艺术”。从文学伦理的角度出发,分析《苏菲的选择》中女主人公苏菲在历史的伦理环境与父亲、与儿女在伦理活动中伦理结的形成过程,能让人们看到苏菲悲剧命运的根源、纳粹罪恶的深重,从而激发了人类对复杂人性的思考,号召人们心向美好,普爱众生。     

Modeling the effects of including/excluding attributes in choice experiments on systematic and random components

This paper examines the impact of attribute presence/absence in choice experiments using covariance heterogeneity models and random coefficient models. Results show that attribute presence/absence impacts both mean utility (systematic components) and choice variability (random components). Biased mean effects can occur by not accounting for choice variability. Further, even if one accounts for choice variability, attribute effects can differ because of attribute presence/absence. Managers who use choice experiments to study product changes or new variants should be cautious about excluding potentially essential attributes. Although including more relevant attributes increases choice variability, it also reduces bias.     

Incorporating choice dynamics in models of consumer behavior

This paper presents a framework for organizing and discussing factors influencing consumer choice dynamics, how these factors may be incorporated into models of buyer behavior and problems that may arise in estimating such models. The paper identifies research issues and delineates possible approaches. Proceedings of Session on Choice Dynamics at the Banff Symposium on Consumer Decision-Making and Choice Behavior. All authors share equally in content and remaining errors.     

Tradeoffs between sensory attributes and organic labels: the case of orange juice

Researchers have investigated the role of sensory attributes and organic labels on consumers’ preferences and perceptions of food, but few has examined whether sensory attributes are relevant for consumers who prefer organic food and the extent to which sensory attributes influence consumer's marginal willingness to pay for organic food. The objective of this study is to determine how sensory attributes and organic label work together to influence consumer's stated preference and marginal willingness to pay for orange juice. To achieve this, we conducted a blind sensory evaluation of two orange juices followed by a discrete choice experiment to determine the extent to which consumer's stated preference for orange juice labelled as organic is affected by sensory experience preceding the choice experiment. Random parameter logit models and latent class conditional logit models are used to explain stated preference. Results indicate that the effect of sensory attributes on consumer's marginal willingness to pay differed by organic juice and conventional juice.